We're tool-agnostic but opinionated. Every choice here is driven by real production experience — we recommend what works, not what's trendy.
We design backend systems around the specific traffic shape, team size, and operational model of each client. There's no one-size-fits-all.
API Gateway + Lambda
Best for event-driven, spiky, or latency-tolerant workloads. Minimal ops overhead. Our default for greenfield serverless APIs.
ALB + ECS Fargate
Container-based workloads without the complexity of Kubernetes. Excellent for long-running processes, websockets, and steady-traffic APIs.
ALB + Autoscaling EC2
When you need maximum control or have specific CPU/memory requirements. Higher ops overhead — we use this when Fargate isn't the right fit.
AppSync (GraphQL) + Lambda
Real-time subscriptions, flexible data fetching, and tight Cognito integration. Strong fit for mobile-first and multi-client products.
EKS (Kubernetes)
When you need Kubernetes specifically — multi-cloud portability, a large existing K8s ecosystem, or advanced scheduling. We discourage over-adoption.
Storage decisions compound over time. We pick based on access patterns, consistency requirements, and operational cost — not hype.
RDS (PostgreSQL / Aurora)
Relational data with ACID guarantees. Aurora Serverless v2 for variable workloads. Our default for most application databases.
DynamoDB
Single-digit millisecond latency at any scale. Best when you know your access patterns up front. Excellent for session stores, leaderboards, and event logs.
S3 + CloudFront
Object storage and CDN distribution. Static assets, user uploads, data lakes, and backups. Nearly always part of the stack in some capacity.
ElastiCache (Redis)
Caching, pub/sub, and rate limiting. We add this when latency data shows clear cache-hit opportunities.
OpenSearch
Full-text search, log aggregation, and analytics. We prefer it over RDS-based search for anything at scale.
Decoupling services with events and queues dramatically improves resilience and scalability. These are our go-to patterns.
SQS + Lambda
Reliable message processing with built-in retry logic, dead-letter queues, and concurrency controls. Our default async pattern.
EventBridge
Event routing and schema registry across services and AWS accounts. Excellent for microservice choreography and third-party integrations.
SNS
Fan-out notifications to multiple subscribers. We use it when the same event needs to reach multiple downstream systems.
Step Functions
Complex workflows with branching, retries, and parallel execution. Better than hand-coded orchestration for multi-step processes.
Kinesis
High-throughput streaming data at scale. We use this for real-time analytics, log ingestion, and clickstream data.
Getting networking right early prevents painful migrations later. We design VPCs, routing, and edge layers that scale with you.
VPC + Subnets + NAT Gateway
Proper multi-AZ network isolation with public, private, and isolated subnet tiers. The foundation of any production environment.
CloudFront + WAF
Global CDN with managed rule groups for DDoS and OWASP threat protection. We add WAF to every customer-facing endpoint.
Route 53
DNS management with health-check-based routing and failover. Handles multi-region and blue/green deployments cleanly.
PrivateLink / Transit Gateway
Private connectivity between VPCs and on-premises networks without traversing the public internet.
Security isn't a layer you add — it's designed in. These are the services we use to build defense-in-depth on every engagement.
IAM (roles, policies, boundaries)
Least-privilege access across every resource. We design IAM architectures that are auditable, maintainable, and secure.
AWS Organizations + SCPs
Multi-account governance and guardrails. Service Control Policies prevent privilege escalation and enforce security baselines.
Secrets Manager + KMS
Encrypted secrets with automatic rotation. We migrate away from environment variables for all sensitive configuration.
GuardDuty + Security Hub
Continuous threat detection and centralized security findings. We enable these on day one of every engagement.
CloudTrail + Config
Immutable audit logs and configuration drift detection. Required for SOC 2 and HIPAA. We implement these as immutable S3 buckets.
Cognito
Managed user pools with MFA, social login, and OIDC federation. We use it for most customer-facing auth needs.
We build frontend applications and help clients choose the right hosting strategy for their performance and operational goals.
React + TypeScript + Vite
Our primary frontend stack for new applications. Fast builds, excellent tooling, and a massive ecosystem.
S3 + CloudFront (static hosting)
The right choice for SPAs and static sites. Global CDN, near-zero cost at scale, and zero ops overhead.
Next.js on Lambda@Edge / App Runner
SSR when SEO or time-to-first-byte requirements demand it. We pair this with CloudFront for edge rendering.
Mantine / Shadcn/ui / Tailwind
We work with whatever component library or design system the client has. Mantine is our default for new projects.
All infrastructure we build is version-controlled, reproducible, and deployable without manual steps.
AWS CDK (TypeScript)
Our preferred IaC tool. Type-safe, composable, and produces CloudFormation under the hood. Excellent for complex, multi-account environments.
Terraform
When clients have existing Terraform infrastructure or multi-cloud requirements. We write idiomatic HCL with proper state management.
CloudFormation
We work with raw CloudFormation when required (existing stacks, specific tooling requirements). We prefer CDK for new development.
Automated pipelines, repeatable builds, and container infrastructure that keeps your team shipping confidently.
GitHub Actions
Our default CI/CD platform. Fast, well-integrated with CDK and ECR, and easy to audit.
AWS CodePipeline / CodeBuild
When everything needs to stay within AWS. Good for compliance environments with strict egress controls.
ECR + Fargate
Container registry and serverless container execution. Our default containerized compute stack.
Docker + BuildKit
Efficient multi-stage builds with layer caching. We optimize Dockerfiles for both build speed and image size.
You can't fix what you can't see. We instrument everything — traces, metrics, and structured logs from day one.
CloudWatch (Metrics, Logs, Alarms)
AWS-native observability. We set up dashboards, anomaly detection, and actionable alarms — not noise alarms.
OpenTelemetry + AWS X-Ray
Distributed tracing across services. We instrument services with OTel and use X-Ray for end-to-end trace visibility.
Datadog / Grafana
When clients need richer dashboards or multi-cloud observability. We integrate with whatever the team already uses.
We help clients maintain or migrate off these platforms when AWS is the right long-term direction.
AWS Amplify
Useful for simple frontends. We support clients using it and help those who have outgrown it migrate to a more flexible setup.
Elastic Beanstalk / Lightsail
We help clients maintain these environments. For new workloads, we recommend Fargate or Lambda instead.
Heroku / Railway / Render
Valid choices for early-stage products. We help clients migrate to AWS when the cost/control tradeoff tips.
Vercel / Netlify
Excellent for frontend teams. We integrate these with AWS backends and help clients migrate when they need more control.
Every engagement is different. Tell us what you're building and we'll explain how we'd approach it.
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